Nerve-Sparing Robotic-Assisted Radical Prostatectomy Based on the Absence of Prostate Imaging-Reporting and Data System ≥3 or Biopsy Gleason Pattern ≥4 in the Peripheral Zone
Yoichiro Tohi, Hiroyuki Tsunemori, Kengo Fujiwara, Takuma Kato, Kana Kohashiguchi, Satoshi Harada, Yohei Abe, Hirohito Naito, Homare Okazoe, Rikiya Taoka, Nobufumi Ueda
- Year
- 2025
- Citations
- 1
- Access
- Open access
Abstract
Background/Objectives: The objective of this study was to evaluate the oncological outcomes and safety of nerve-sparing (NS) robot-assisted radical prostatectomy (RARP) when applied without Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesions or Gleason pattern ≥4 on biopsy in the peripheral zone (PZ). Methods: We retrospectively analyzed 208 patients who underwent RARP between August 2017 and December 2022, excluding those who had received preoperative hormonal therapy. After NS status stratification and patient characteristic adjustment using propensity score matching (PSM), positive resection margin (RM) rates and prostate-specific antigen (PSA) recurrence-free survival were compared. Urinary and sexual quality of life (QOL) were assessed using the Expanded Prostate Cancer Index Composite, along with predictive factors associated with positive RM and RM locations in the NS group. Results: NS was performed in 68.6% (n = 129) patients. After PSM, there were no significant differences in RM positivity (p = 0.811) or PSA recurrence-free survival (Log-rank p = 0.79), regardless of NS status. There was no difference in sexual function between groups, but urinary QOL was significantly better in the NS group from the third month onward. In the NS group, RM positivity was 27.9% (n = 36), and diagnostic PSA (odds ratio [OR], 1.110, p = 0.038) and clinical T stage (OR, 1.400, p = 0.038) were predictive factors. The RM positivity rate on the NS side was 10.8%. Conclusions: NS, based on the absence of PI-RADS ≥3 lesions or Gleason pattern ≥4 in PZ, did not increase RM positivity rate and increased early urinary QOL.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992